Edge rigidity and universality of random regular graphs of intermediate degree
arXiv:1910.10121 · doi:10.1007/s00039-020-00538-0
Abstract
For random -regular graphs on vertices with , we develop a expansion of the local eigenvalue distribution about the Kesten-McKay law up to order . This result is valid up to the edge of the spectrum. It implies that the eigenvalues of such random regular graphs are more rigid than those of Erdős-Rényi graphs of the same average degree. As a first application, for , we show that all nontrivial eigenvalues of the adjacency matrix are with very high probability bounded in absolute value by . As a second application, for , we prove that the extremal eigenvalues are concentrated at scale and their fluctuations are governed by Tracy-Widom statistics. Thus, in the same regime of , of all -regular graphs have second-largest eigenvalue strictly less than .
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